Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Idir Boulfrifi"'
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 12:314-327
Detecting anomalous events in videos is one of the most popular computer vision topics. It is considered a challenging task in video analysis due to its definition, which is subjective or context-dependent. Various approaches have been proposed to ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4508ae7a60da4e0e933a213a0128764b
https://doi.org/10.11591/eei.v12i1.3944
https://doi.org/10.11591/eei.v12i1.3944
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 6:145-150
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::338abbb5cf52562ebd290c133ee699b0
https://doi.org/10.25046/aj060619
https://doi.org/10.25046/aj060619
Publikováno v:
ICSDE
This paper presents a method two segment moving objects from video sequences by combining spatial and temporal information. The segmentation is performed in two steps : automatic seeds detection, and random walk segmentation. In the first step, seeds
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39a70cbaf38860d58dceb1ff87cc63a7
https://doi.org/10.1145/3128128.3128139
https://doi.org/10.1145/3128128.3128139
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 15:511
In this paper, we propose a novel approach for automatic foreground extraction in video frames by analyzing the spatiotemporal aspect. We divide our contribution to tree steps: Automatic seeds detection, formulating the energy function, and using the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a01b2ddeda717da0345ed9604cbe389
https://doi.org/10.11591/ijeecs.v15.i1.pp511-516
https://doi.org/10.11591/ijeecs.v15.i1.pp511-516